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This Festschrift volume, dedicated to He Jifeng on the occasion of his 70th birthday in September 2013, includes 24 refereed papers by leading researchers, current and former colleagues, who congratulated at a celebratory symposium held in Shanghai, China, in the course of the 10th International Colloquium on Theoretical Aspects of Computing, ICTAC 2013. The papers cover a broad spectrum of subjects, from foundational and theoretical topics to programs and systems issues and to applications, comprising formal methods, software and systems modeling, semantics, laws of programming, specification and verification, as well as logics. He Jifeng is known for his seminal work in the theories of programming and formal methods for software engineering. He is particularly associated with Unifying Theories of Programming (UTP) , the theory of data refinement and the laws of programming, and the rCOS formal method for object and component system construction. His book on UTP with Tony Hoare has been widely read and followed by a large number of researchers, and it has been used in many postgraduate courses. He was a senior researcher at Oxford during 1984-1998, and then a senior research fellow at the United Nations University International Institute for Software Technology (UNU-IIST) in Macau during 1998-2005. He has been a professor and currently the Dean of the Institute of Software Engineering at East China Normal University, Shanghai, China. In 2005, He Jifeng was elected as an academician to the Chinese Academy of Sciences. He also received an honorary doctorate from the University of York. He won a number of prestigious science and technology awards, including a 2nd prize of Natural Science Award from the State Council of China, a 1st prize of Natural Science Award from the Ministry of Education of China, a 1st prize of Technology Innovation from the Ministry of Electronic Industry, and a number awards from Shanghai government.
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.

This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”
—Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.

Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Learn the principles behind object-oriented programming and within a few chapters create a fully functional Ruby application. You'll also gain a basic understanding of many ancillary technologies such as databases, XML, web frameworks, and networking - some of which are needed as part of a fully functioning Ruby application.

Based on the bestselling first and second editions, Beginning Ruby, Third Edition is a leading guide to learn Ruby from the ground up. The new edition of this book provides the same excellent introduction to Ruby as the previous editions plus updates for the newest version of Ruby 2.3. This book can also be used as a textbook or companion to a textbook on beginning Ruby programming.

The light and agile Ruby programming language remains a very popular open source scripting option for developers building today's web and even some enterprise applications. And, now, Ruby also has applications using the Raspberry Pi, popular among hobbyists and makers. Many former Java developers still use Ruby on Rails today, the most popular framework for building Ruby applications.

What You'll Learn

Discover the fundamentals of Ruby and its object-oriented building blocksUse the Ruby libraries, gems, and documentationWork with files and databasesWrite and deploy Ruby applicationsHarness the various Ruby web frameworks and how to use themDo network programming with Ruby Who This Book Is For
Beginning programmers, programmers new to Ruby, and web developers interested in learning and knowing the foundations of the Ruby programming language.
Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using it--instead of FORTRAN--to solve problems. And why not? Excel is installed on millions of computers, features a rich set of built-in analyses tools, and includes an integrated Visual Basic for Applications (VBA) programming language. No wonder it's today's computing tool of choice.

Chances are you already use Excel to perform some fairly routine calculations. Now the Excel Scientific and Engineering Cookbook shows you how to leverage Excel to perform more complex calculations, too, calculations that once fell in the domain of specialized tools. It does so by putting a smorgasbord of data analysis techniques right at your fingertips. The book shows how to perform these useful tasks and others:

Use Excel and VBA in generalImport data from a variety of sourcesAnalyze dataPerform calculationsVisualize the results for interpretation and presentationUse Excel to solve specific science and engineering problems

Wherever possible, the Excel Scientific and Engineering Cookbook draws on real-world examples from a range of scientific disciplines such as biology, chemistry, and physics. This way, you'll be better prepared to solve the problems you face in your everyday scientific or engineering tasks.

High on practicality and low on theory, this quick, look-up reference provides instant solutions, or "recipes," to problems both basic and advanced. And like other books in O'Reilly's popular Cookbook format, each recipe also includes a discussion on how and why it works. As a result, you can take comfort in knowing that complete, practical answers are a mere page-flip away.

Design and create video games using Java, with the LibGDX software library. By reading Beginning Java Game Development with LibGDX, you will learn how to design video game programs and how to build them in Java. You will be able to create your own 2D games, using various hardware for input (keyboard/mouse, gamepad controllers, or touchscreen), and create executable versions of your games. The LibGDX library facilitates the game development process by providing pre-built functionality for common tasks. It is a free, open source library that includes full cross-platform compatibility, so programs written using this library can be compiled to run on desktop computers (Windows/MacOS), web browsers, and smartphones/tablets (both Android and iOS).
Beginning Java Game Development with LibGDX teaches by example with many game case study projects that you will build throughout the book. This ensures that you will see all of the APIs that are encountered in the book in action and learn to incorporate them into your own projects. The book also focuses on teaching core Java programming concepts and applying them to game development.

What You Will LearnHow to use the LibGDX framework to create a host of 2D arcade game case studies
How to compile your game to run on multiple platforms, such as iOS, Android, Windows, and MacOS
How to incorporate different control schemes, such as touchscreen, gamepad, and keyboard

Who This Book Is ForReaders should have an introductory level knowledge of basic Java programming. In particular, you should be familiar with: variables, conditional statements, loops, and be able to write methods and classes to accomplish simple tasks. This background is equivalent to having taken a first-semester college course in Java programming.
Science fiction is the playground of the imagination. If you are interested in science or fascinated with the future then science fiction is where you explore new ideas and let your dreams and nightmares duke it out on the safety of the page or screen. But what if we could use science fiction to do more than that? What if we could use science fiction based on science fact to not only imagine our future but develop new technologies and products? What if we could use stories, movies and comics as a kind of tool to explore the real world implications and uses of future technologies today? Science Fiction Prototyping is a practical guide to using fiction as a way to imagine our future in a whole new way. Filled with history, real world examples and conversations with experts like best selling science fiction author Cory Doctorow, senior editor at Dark Horse Comics Chris Warner and Hollywood science expert Sidney Perkowitz, Science Fiction Prototyping will give you the tools you need to begin designing the future with science fiction. The future is Brian David Johnson's business. As a futurist at Intel Corporation, his charter is to develop an actionable vision for computing in 2021. His work is called "future casting"-using ethnographic field studies, technology research, trend data, and even science fiction to create a pragmatic vision of consumers and computing. Johnson has been pioneering development in artificial intelligence, robotics, and reinventing TV. He speaks and writes extensively about future technologies in articles and scientific papers as well as science fiction short stories and novels (Fake Plastic Love and Screen Future: The Future of Entertainment, Computing and the Devices We Love). He has directed two feature films and is an illustrator and commissioned painter. Table of Contents: Preface / Foreword / Epilogue / Dedication / Acknowledgments / 1. The Future Is in Your Hands / 2. Religious Robots and Runaway Were-Tigers: A Brief Overview of the Science and the Fiction that Went Into Two SF Prototypes / 3. How to Build Your Own SF Prototype in Five Steps or Less / 4. I, Robot: From Asimov to Doctorow: Exploring Short Fiction as an SF Prototype and a Conversation With Cory Doctorow / 5. The Men in the Moon: Exploring Movies as an SF Prototype and a Conversation with Sidney Perkowitz / 6. Science in the Gutters: Exploring Comics as an SF Prototype and a Conversation With Chris Warner / 7. Making the Future: Now that You Have Developed Your SF Prototype, What's Next? / 8. Einstein's Thought Experiments and Asimov's Second Dream / Appendix A: The SF Prototypes / Notes / Author Biography
Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities through predictive and prescriptive analysis.

The purpose of this book is to provide a gentle and instructionally organized introduction to the field of data science and machine learning, with a focus on building and deploying predictive models.

The book also provides a thorough overview of the Microsoft Azure Machine Learning service using task oriented descriptions and concrete end-to-end examples, sufficient to ensure the reader can immediately begin using this important new service. It describes all aspects of the service from data ingress to applying machine learning and evaluating the resulting model, to deploying the resulting model as a machine learning web service. Finally, this book attempts to have minimal dependencies, so that you can fairly easily pick and choose chapters to read. When dependencies do exist, they are listed at the start and end of the chapter.

The simplicity of this new service from Microsoft will help to take Data Science and Machine Learning to a much broader audience than existing products in this space. Learn how you can quickly build and deploy sophisticated predictive models as machine learning web services with the new Azure Machine Learning service from Microsoft.

Sales of wireless LANs to home users and small businesses will soar this year, with products using IEEE 802.11 (Wi-Fi) technology leading the way, according to a report by Cahners research. Worldwide, consumers will buy 7.3 million wireless LAN nodes--which include client and network hub devices--up from about 4 million last year. This third book in the "HACKING" series from Syngress is written by the SoCalFreeNet Wireless Users Group and will cover 802.11a/b/g (“Wi-Fi ) projects teaching these millions of Wi-Fi users how to "mod" and "hack" Wi-Fi access points, network cards, and antennas to run various Linux distributions and create robust Wi-Fi networks.

Cahners predicts that wireless LANs next year will gain on Ethernet as the most popular home network technology. Consumers will hook up 10.9 million Ethernet nodes and 7.3 million wireless out of a total of 14.4 million home LAN nodes shipped. This book will show Wi-Fi enthusiasts and consumers of Wi-Fi LANs who want to modify their Wi-Fi hardware how to build and deploy “homebrew Wi-Fi networks, both large and small.Wireless LANs next year will gain on Ethernet as the most popular home network technology. Consumers will hook up 10.9 million Ethernet nodes and 7.3 million wireless clients out of a total of 14.4 million home LAN nodes shipped.This book will use a series of detailed, inter-related projects to teach readers how to modify their Wi-Fi hardware to increase power and performance to match that of far more expensive enterprise networking products. Also features hacks to allow mobile laptop users to actively seek wireless connections everywhere they go!The authors are all members of the San Diego Wireless Users Group, which is famous for building some of the most innovative and powerful "home brew" Wi-Fi networks in the world.
The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids.

Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself.

The first part of the book describes key techniques of artificial intelligence—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control.

The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance.Check out the significantly expanded set of free web-based resources that support the book at: http://www.adrianhopgood.com/aitoolkit/
In any software design project, the analysis stage - documenting and designing technical requirements for the needs of users - is vital to the success of the project.

This third edition of the successful Analysis and Design of Information Systems provides a comprehensive introduction and user-friendly survey to all aspects of business transformation and analysis, and aims to provide the complex set of tools covering all types of systems, including legacy, transactional, database, and web/e-commerce topics. Focusing on the applied aspects of analysis to create systems that meet the needs of their users, (consumers and businesses), this revised text aims to enhance the set of techniques and tools that the analyst/designer requires for success and to organizations to implement business transformation of operations.

Topics and features:

• Additional chapters on Web interface tools, security and change control, and data warehouse system design

• Developments on new designs and technologies, particularly in the area of web analysis and design; a revised Web/Commerce chapter addresses component middleware for complex systems design

• New case studies and more examples, providing readers with a deeper understanding of practicalities

• Presents modelling tools within a SDLC framework, thereby providing readers with a step-by-step understanding of when and how to use them

• More coverage on converting logical models to physical models, how to generate DDL, and testing database functionalities

• Expanded scope of analysis and design to include more specific conventions, such as logical to physical design steps, XML, data values, and denormalization

Based on feedback the author received from instructors and practitioners in industry, this enhanced text/reference presents a set of good practices that allow readers to adjust to the constraints and needs of any business. It is a valuable resource and guide for all information systems students, as well as practitioners and professionals who need an in-depth understanding of the principles of the analysis and design process.

Dr. Arthur M. Langer is the senior director of the Center for Technology, Innovation, and Community Engagement at Columbia University’s Fu Foundation School of Engineering and Applied Science. He is on the faculty in the Department of Organization and Leadership at the Graduate School of Education (Teachers College), and associate director of instruction and curricular development for programs in information technology in the School of Continuing Education.

The basics of how computer hardware, software, and systems work, and the risks they create for our privacy and security

Computers are everywhere. Some of them are highly visible, in laptops, tablets, cell phones, and smart watches. But most are invisible, like those in appliances, cars, medical equipment, transportation systems, power grids, and weapons. We never see the myriad computers that quietly collect, share, and sometimes leak vast amounts of personal data about us. Through computers, governments and companies increasingly monitor what we do. Social networks and advertisers know far more about us than we should be comfortable with, using information we freely give them. Criminals have all-too-easy access to our data. Do we truly understand the power of computers in our world?

Understanding the Digital World explains how computer hardware, software, networks, and systems work. Topics include how computers are built and how they compute; what programming is and why it is difficult; how the Internet and the web operate; and how all of these affect our security, privacy, property, and other important social, political, and economic issues. This book also touches on fundamental ideas from computer science and some of the inherent limitations of computers. It includes numerous color illustrations, notes on sources for further exploration, and a glossary to explain technical terms and buzzwords.

Understanding the Digital World is a must-read for all who want to know more about computers and communications. It explains, precisely and carefully, not only how they operate but also how they influence our daily lives, in terms anyone can understand, no matter what their experience and knowledge of technology.

Ethereal is the #2 most popular open source security tool used by system administrators and security professionals. This all new book builds on the success of Syngress’ best-selling book Ethereal Packet Sniffing.

Wireshark & Ethereal Network Protocol Analyzer Toolkit provides complete information and step-by-step Instructions for analyzing protocols and network traffic on Windows, Unix or Mac OS X networks. First, readers will learn about the types of sniffers available today and see the benefits of using Ethereal. Readers will then learn to install Ethereal in multiple environments including Windows, Unix and Mac OS X as well as building Ethereal from source and will also be guided through Ethereal’s graphical user interface. The following sections will teach readers to use command-line options of Ethereal as well as using Tethereal to capture live packets from the wire or to read saved capture files. This section also details how to import and export files between Ethereal and WinDump, Snort, Snoop, Microsoft Network Monitor, and EtherPeek. The book then teaches the reader to master advanced tasks such as creating sub-trees, displaying bitfields in a graphical view, tracking requests and reply packet pairs as well as exclusive coverage of MATE, Ethereal’s brand new configurable upper level analysis engine. The final section to the book teaches readers to enable Ethereal to read new Data sources, program their own protocol dissectors, and to create and customize Ethereal reports.Ethereal is the #2 most popular open source security tool, according to a recent study conducted by insecure.orgSyngress' first Ethereal book has consistently been one of the best selling security books for the past 2 years
In this age of DNA computers and artificial intelligence, information is becoming disembodied even as the "bodies" that once carried it vanish into virtuality. While some marvel at these changes, envisioning consciousness downloaded into a computer or humans "beamed" Star Trek-style, others view them with horror, seeing monsters brooding in the machines. In How We Became Posthuman, N. Katherine Hayles separates hype from fact, investigating the fate of embodiment in an information age.

Hayles relates three interwoven stories: how information lost its body, that is, how it came to be conceptualized as an entity separate from the material forms that carry it; the cultural and technological construction of the cyborg; and the dismantling of the liberal humanist "subject" in cybernetic discourse, along with the emergence of the "posthuman."

Ranging widely across the history of technology, cultural studies, and literary criticism, Hayles shows what had to be erased, forgotten, and elided to conceive of information as a disembodied entity. Thus she moves from the post-World War II Macy Conferences on cybernetics to the 1952 novel Limbo by cybernetics aficionado Bernard Wolfe; from the concept of self-making to Philip K. Dick's literary explorations of hallucination and reality; and from artificial life to postmodern novels exploring the implications of seeing humans as cybernetic systems.

Although becoming posthuman can be nightmarish, Hayles shows how it can also be liberating. From the birth of cybernetics to artificial life, How We Became Posthuman provides an indispensable account of how we arrived in our virtual age, and of where we might go from here.
Protecting computer networks and their client computers against willful (or accidental) attacks is a growing concern for organizations and their information technology managers. This book draws upon the author's years of experience in computer security to describe a set of over 200 "rules" designed to enhance the security of a computer network (and its data) and to allow quick detection of an attack and development of effective defensive responses to attacks. Both novice and experienced network administrators will find this book an essential part of their professional "tool kit." It is also essential reading for a corporate or organization manager who needs a solid understanding of the issues involved in computer security. Much literature is available on network and data security that describes security concepts, but offers so many different solutions to information security problems that it typically overwhelms both the novice and the experienced network administrator. This book presents a simple set of rules important in maintaining good information security. These rules or best practices are intended to be a recipe for setting up network and information security. This manual will take the mystery out of configuring an information security solution and provide a framework which the novice as well as experienced network administrator can follow and adapt to their network and data environment.

* Provides practical, "battle tested" rules and guidelines to protect computer networks against different forms of attack * Covers both network and client level attacks, including attacks via the internet and damage to the physical hardware of a network

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